首页> 外文期刊>IFAC PapersOnLine >Economic Model Predictive Control for Optimal Operation of Home Microgrid with Photovoltaic-Combined Heat and Power Storage Systems * * This work was supported by the German Federal Ministry of Education and Research (BMBF) under the grant number 03EK3547
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Economic Model Predictive Control for Optimal Operation of Home Microgrid with Photovoltaic-Combined Heat and Power Storage Systems * * This work was supported by the German Federal Ministry of Education and Research (BMBF) under the grant number 03EK3547

机译:光伏联合储热系统的家用微电网最佳运行的经济模型预测控制 * * 这项工作得到了以下人员的支持德国联邦教育与研究部(BMBF),授权号为03EK3547

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In this paper, the economic model predictive control operation of a home microgrid with photovoltaic-combined heat and power storage systems is investigated. The purpose of the paper is to present the problem formulation, and quantify the impact of uncertainty coming from the thermal behavior of the mini combined heat and power plant. A model predictive control-based strategy is contrasted with an open loop-based operation and a perfect forecast based operation. The paper discusses the effects of having such an uncertainty, relaying the benefits of using model predictive control to handle such situations. Additionally, the paper at hand presents a sensitivity analysis regarding storage size, concluding that the proposed economic model predictive control strategy can be used to reduce total annual costs.
机译:本文研究了光伏联合储热系统的家用微电网的经济模型预测控制操作。本文的目的是提出问题的表述,并对由小型热电联产电厂的热行为带来的不确定性的影响进行量化。将基于模型预测控制的策略与基于开环的操作和基于完美预测的操作进行对比。本文讨论了具有这种不确定性的影响,传达了使用模型预测控制来处理此类情况的好处。此外,本文还对存储大小进行了敏感性分析,认为所建议的经济模型预测控制策略可用于降低年度总成本。

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